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Quantitative Fine-Grained Human Evaluation of Machine Translation
  Systems: a Case Study on English to Croatian

Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian

2 February 2018
Filip Klubicka
Antonio Toral
Víctor M. Sánchez-Cartagena
ArXiv (abs)PDFHTML

Papers citing "Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian"

8 / 8 papers shown
Title
Fine-grained human evaluation of neural versus phrase-based machine
  translation
Fine-grained human evaluation of neural versus phrase-based machine translation
Filip Klubicka
Antonio Toral
Víctor M. Sánchez-Cartagena
57
94
0
14 Jun 2017
Nematus: a Toolkit for Neural Machine Translation
Nematus: a Toolkit for Neural Machine Translation
Rico Sennrich
Orhan Firat
Kyunghyun Cho
Alexandra Birch
Barry Haddow
...
Marcin Junczys-Dowmunt
Samuel Läubli
Antonio Valerio Miceli Barone
Jozef Mokry
Maria Nadejde
66
407
0
13 Mar 2017
A Multifaceted Evaluation of Neural versus Phrase-Based Machine
  Translation for 9 Language Directions
A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions
Antonio Toral
Víctor M. Sánchez-Cartagena
91
147
0
11 Jan 2017
Neural versus Phrase-Based Machine Translation Quality: a Case Study
Neural versus Phrase-Based Machine Translation Quality: a Case Study
L. Bentivogli
Arianna Bisazza
Mauro Cettolo
Marcello Federico
230
330
0
16 Aug 2016
Neural Machine Translation of Rare Words with Subword Units
Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich
Barry Haddow
Alexandra Birch
246
7,765
0
31 Aug 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
589
27,345
0
01 Sep 2014
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
165
6,635
0
22 Dec 2012
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
218
5,361
0
21 Nov 2012
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